Analyzing People’s Behavior Using Network Data

抄録

This paper proposes a method to analyze people’s behavior using network data. To show the effectiveness of the proposed method, this paper analyzes people’s behavior toward the eco-point system and the Broadcasting Digitization in Japan. DNS query logs, i.e., the network data, are the information source used to analyze people’s behavior. By counting the number of viewers, the proposed method tries to find current issues that affect people’s behavior. The ability to analyze the relationship between different people’s behavior is the important characteristic of the proposed method and is revealed by experiments which use a three-year long country level DNS query log. Another important characteristic of the proposed method is that its analysis is not disturbed by stealth marketing. Since conventional methods analyze people’s behavior from the poster side, stealth marketers can mislead conventional methods by posting unreliable information. To solve this problem, the proposed method analyzes viewer’s behavior.